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Krzysztof kuhy Rudnicki
cc06bc0cd8
749 findings across six labs and two projects. The mechanical half was scripted; everything below is what the scripts got wrong or could not do, and how it was caught. Three regressions I introduced and then found by RUNNING the code, not by reading it: - Converting print() to logger.info() made the programs SILENT. logging's last-resort handler only emits WARNING and above, so with no basicConfig call `lab2/main.py -t 1 1` printed nothing at all. Fifteen files across the repo now configure logging where they log. - The same conversion dropped `end=""`. lab2 draws its board one square at a time and lab1 draws the maze one cell at a time; both came out one glyph per line. Those thirteen call sites are sys.stdout.write again, and the rendered board now diffs byte-identically against the pre-change output. - The B007 fix renamed `col` to `_col` in the FIRST loop it matched, which was print_letters -- where the variable IS used. That would have been a NameError on the first call. And one the scripts caused silently: annotating 110 signatures dropped the DEFAULT VALUES from 22 of them, so `preprocessing(a, b, USER_THRESHOLD, ANIME_THRESHOLD)` would have raised TypeError. Every signature is now diffed against the pre-change version, name by name and default by default: zero mismatches. Real defects the lint surfaced: - `alpha_beta` ended with an unreachable `return None` that violated its own return type. Its maximising and minimising halves were mirror images, so they are one `_search_branch` now (C901 11 -> ok). - `get_data`'s `gpu` switch, `predict`'s `auto`, `create_model`'s `rows_number` and five of `preprocess_model_predict`'s fifteen parameters were never read. Gone, with their call sites. - np.random.* -> Generator throughout (NPY002), `.values` -> `.to_numpy()`, `datetime.now()` with a tzinfo, `inplace=True` removed, `except:` given a type, `random.*` -> `SystemRandom` (S311). - print_board's three nested helpers became methods (C901 17 -> ok); user_input's nine-branch if-ladder became a table (C901 12 -> ok). Verification, all by running: lab1 `-t` and lab2 `-t 1 1` produce output byte-identical to the pre-change code; lab2's rendered 8x8 board diffs clean; lab3's argument parsing returns the same dict for the same argv; lab4 fails identically before and after (no sklearn here). Also included: the logging configuration for NLP, MOM and ECRYPT_PROJECT, which had the same silence bug. Repo-wide: 2,775 findings -> 1,883. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
69 lines
1.9 KiB
Python
Executable File
69 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Matplotlib scatter demo the lab-3 plotting is modelled on."""
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import logging
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import sys
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import tempfile
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from pathlib import Path
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import cv2
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import matplotlib.pyplot as plt
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import numpy as np
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logger = logging.getLogger(__name__)
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# cv2.waitKey returns the ASCII code of the key pressed; 'q' quits.
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KEY_Q = ord("q")
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# NumPy's legacy np.random.* functions share one global state; Generator is
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# the modern API and is what NPY002 asks for.
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RNG = np.random.default_rng()
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def main() -> None:
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# define number of data points
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"""Draw the scatter demo this lab's plotting is based on."""
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point_count = 10
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# define the visualization params
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colors = RNG.random(point_count)
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as f:
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# iterate over the optimization steps
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for _i in range(10):
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# generate random 2D data - replace it with the results from your algorithm
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x = RNG.random(point_count)
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y = RNG.random(point_count)
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# plot the data
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plt.cla()
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plt.figure()
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plt.scatter(x, y, c=colors, alpha=0.5)
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plt.xlim([0, 1])
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plt.ylim([0, 1])
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plt.savefig(f.name)
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# read image
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image = cv2.imread(f.name)
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# show the image, provide window name first
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cv2.imshow("visualization", image)
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# add wait key. window waits until user presses a key and quits if the key
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# is 'q'
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if cv2.waitKey(0) == KEY_Q:
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# and finally destroy/close all open windows
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cv2.destroyAllWindows()
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sys.exit()
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try:
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f.close()
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Path(f.name).unlink()
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except Exception:
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logger.exception("could not close the preview window")
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cv2.destroyAllWindows()
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if __name__ == "__main__":
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main()
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